Machine Learning Researcher

Qualcomm

Closes in 3 days

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$159,100–$238,700 / yr
Posted
177 days ago
Closes
Jun 14, 2026 (soon)
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k
This role $199k
$143k most similar roles pay here $270k

This role pays less than 52% of similar roles. Most pay $162,000–$241,425 — the shaded band above. At the midpoint, this role pays about $199k versus about $202k for comparable roles.

Based on 239 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 660 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 429 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · Machine Learning Researcher

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Join Qualcomm AI Research as a senior researcher in artificial intelligence to contribute to groundbreaking work at the intersection of software, hardware, and systems. You will lead high-impact research initiatives focusing on generative AI, including multi-modal foundation models, efficient architectures, LLM reasoning, reinforcement learning, and agentic AI, while collaborating with global teams to transition cutting-edge models into real-world applications. Key responsibilities include conducting innovative research, developing practical solutions for deployment challenges, implementing and evaluating models in both simulation and device environments, and publishing findings in top-tier conferences like NeurIPS and ICML. Ideal candidates have a strong publication record, deep expertise in generative AI, hands-on experience with model development pipelines, and knowledge of efficient architectures suitable for on-device deployment.

Skills

Python TensorFlow PyTorch Keras Hugging Face Transformers CUDA C++ Git Jupyter Notebook CI/CD Docker GitHub NeurIPS ICML ICLR CVPR ICCV ACL EMNLP

What you'll do

  • Conduct cutting-edge research in efficient generative AI, including LLMs and Multi-Modal Foundation Models.
  • Lead the transition of advanced AI models into production-ready solutions for real-world applications.
  • Develop practical solutions considering device constraints and limitations.
  • Implement and evaluate AI solutions in both simulation and on-device environments.
  • Publish research findings in top-tier conferences such as NeurIPS, ICML, ICLR.

What we're looking for

  • Proven research excellence with publications in top-tier AI/ML conferences.
  • Deep expertise in generative AI, multi-modal foundation models, and reinforcement learning.
  • Hands-on experience with model development pipelines including training and optimization.
  • Experience leading high-impact research initiatives and transitioning them to production.
  • PhD or MS degree plus relevant work experience in AI research or related fields.

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